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Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video
  Super-Resolution

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution

15 April 2021
Xiaoyu Xiang
Yapeng Tian
Yulun Zhang
Y. Fu
J. Allebach
Chenliang Xu
    SupR
ArXivPDFHTML

Papers citing "Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution"

5 / 5 papers shown
Title
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video
  Super-Resolution
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution
Z. Geng
Luming Liang
Tianyu Ding
Ilya Zharkov
14
68
0
27 Mar 2022
Sparse to Dense Motion Transfer for Face Image Animation
Sparse to Dense Motion Transfer for Face Image Animation
Ruiqi Zhao
Tianyi Wu
Guodong Guo
3DH
CVBM
19
27
0
01 Sep 2021
MuCAN: Multi-Correspondence Aggregation Network for Video
  Super-Resolution
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
Wenbo Li
Xin Tao
Taian Guo
Lu Qi
Jiangbo Lu
Jiaya Jia
SupR
129
136
0
23 Jul 2020
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
190
5,163
0
16 Sep 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
201
7,884
0
13 Jun 2015
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